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Proceedings Paper

Robust non-rigid registration algorithm based on local affine registration
Author(s): Liyang Wu; Lei Xiong; Shaoyi Du; Duyan Bi; Ting Fang; Kun Liu; Dongpeng Wu
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Paper Abstract

Aiming at the problem that the traditional point set non-rigid registration algorithm has low precision and slow convergence speed for complex local deformation data, this paper proposes a robust non-rigid registration algorithm based on local affine registration. The algorithm uses a hierarchical iterative method to complete the point set non-rigid registration from coarse to fine. In each iteration, the sub data point sets and sub model point sets are divided and the shape control points of each sub point set are updated. Then we use the control point guided affine ICP algorithm to solve the local affine transformation between the corresponding sub point sets. Next, the local affine transformation obtained by the previous step is used to update the sub data point sets and their shape control point sets. When the algorithm reaches the maximum iteration layer K, the loop ends and outputs the updated sub data point sets. Experimental results demonstrate that the accuracy and convergence of our algorithm are greatly improved compared with the traditional point set non-rigid registration algorithms.

Paper Details

Date Published: 10 April 2018
PDF: 10 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106151Q (10 April 2018); doi: 10.1117/12.2302642
Show Author Affiliations
Liyang Wu, Air Force Engineering Univ. (China)
Lei Xiong, Air Force Engineering Univ. (China)
Shaoyi Du, Xi'an Jiaotong Univ. (China)
Duyan Bi, Air Force Engineering Univ. (China)
Ting Fang, Air Force Engineering Univ. (China)
Kun Liu, Air Force Engineering Univ. (China)
Dongpeng Wu, Air Force Engineering Univ. (China)


Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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